{"id":"W2158092612","doi":"10.1017/s1047951115000025","title":"Indications for cardiovascular magnetic resonance in children with congenital and acquired heart disease: an expert consensus paper of the Imaging Working Group of the AEPC and the Cardiovascular Magnetic Resonance Section of the EACVI","year":2015,"lang":"en","type":"article","venue":"Cardiology in the Young","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Bundesministerium für Bildung und Forschung; British Heart Foundation","keywords":"Medicine; Magnetic resonance imaging; Heart disease; Cardiac magnetic resonance; Expert opinion; Section (typography); Cardiac magnetic resonance imaging; Relevance (law); Modalities; Clinical Practice; Modality (human–computer interaction); Medical physics; Intensive care medicine; Radiology; Cardiology; Physical therapy; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02414317,0.0008983981,0.00196523,0.003661384,0.0009772605,0.00177714,0.003029786,0.004273113,0.001790632],"category_scores_gemma":[0.03406715,0.0006547131,0.002744484,0.001965161,0.001087364,0.001924931,0.002289094,0.005252724,0.001446251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226713,"about_ca_system_score_gemma":0.006732508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033531,"about_ca_topic_score_gemma":0.005250111,"domain_scores_codex":[0.9889612,0.003090119,0.004146046,0.0005686222,0.002728863,0.0005051482],"domain_scores_gemma":[0.972762,0.01137509,0.003021222,0.0005900383,0.01072556,0.001526156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002670973,0.0001004439,0.009851872,0.009343435,0.0004294352,0.001419331,0.001269869,0.001035747,0.002058946,0.004842918,0.457055,0.5123258],"study_design_scores_gemma":[0.0003085972,0.0001984684,0.02266533,0.05357061,0.001278661,0.008539198,0.003188659,0.001913075,0.002352695,0.01016634,0.8955523,0.0002661079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01657208,0.4857008,0.03816174,0.3814181,0.03932913,0.002344227,0.003711663,0.0003842497,0.03237802],"genre_scores_gemma":[0.1234952,0.5513535,0.1994611,0.07570495,0.02257371,0.003174011,0.01104105,0.000446957,0.01274951],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02414317,"threshold_uncertainty_score":0.1276829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339505372101502,"score_gpt":0.2334001950200323,"score_spread":0.2200051412990172,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}